Academic Journal of Computing & Information Science, 2022, 5(11); doi: 10.25236/AJCIS.2022.051111.
Wang Wenzhi, Wang Zhibo
Guizhou Police College, Guiyang, China
In order to solve the problem of accurate shadow location for moving objects, a shadow removal algorithm based on cross correlation and local maximum information entropy is proposed. Firstly, the background is established by using the mixed Gaussian model to obtain the moving object; Then, the dark part of the moving object is detected by cross correlation; Finally, the local maximum information entropy is used to analyze the texture characteristics of the dark part, and then realization the shadow remove of the moving object. The experimental results show that the algorithm is robust to some extent.
Moving object detection, Cross correlation, Maximum information entropy, Shadow Removal, Textural features
Wang Wenzhi, Wang Zhibo. Research on moving object shadow removal algorithm based on video surveillance. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 11: 73-78. https://doi.org/10.25236/AJCIS.2022.051111.
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